{"id":"W6931900864","doi":"10.5683/sp3/oj5ij6","title":"Raw data and Matlab code for: Convergence in carnivorous pitcher plants reveals a mechanism for composite trait evolution","year":2024,"lang":"en","type":"dataset","venue":"Bristol Research (University of Bristol)","topic":"Advanced Physical and Chemical Molecular Interactions","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Environment Research Council; Royal Society; Leverhulme Trust; UK Research and Innovation","keywords":"Trait; Phylogenetic tree; Mechanism (biology); Convergence (economics); Phylogenetic comparative methods; Phylogenetics; Convergent evolution; Supertree","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001432436,0.001822643,0.001268205,0.002282171,0.0009820753,0.002145595,0.002531516,0.001757715,0.1393607],"category_scores_gemma":[0.007967518,0.0006560364,0.001264815,0.003526546,0.0005729749,0.00132324,0.001720133,0.001784308,0.1296833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001077595,"about_ca_system_score_gemma":0.002191491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01137473,"about_ca_topic_score_gemma":0.02289523,"domain_scores_codex":[0.9991597,0.000147278,0.00008992637,0.0003184681,0.0001722502,0.000112373],"domain_scores_gemma":[0.9974968,0.001362731,0.0001997581,0.0004124488,0.0003791347,0.0001491411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001178768,0.00003675454,0.001845463,0.001800969,0.00008247654,0.00004771724,0.0000525424,0.0008203662,0.0004526796,0.0008613297,0.9884029,0.00547891],"study_design_scores_gemma":[0.000465988,0.00003339269,0.006344794,0.0004281458,0.00006854789,0.00007624473,0.00009415785,0.001183704,0.0009486151,0.004166082,0.9861413,0.00004901598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003009232,0.00008473104,0.0003234435,0.00007488028,0.00002909301,0.0000201045,0.9971208,0.001260039,0.0007860382],"genre_scores_gemma":[0.001607744,0.00009540261,0.002160885,0.0001187319,0.000009005775,0.0003286332,0.9937111,0.0005814047,0.001386998],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1393607,"threshold_uncertainty_score":0.4662078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05930311064329533,"score_gpt":0.3417438088513816,"score_spread":0.2824406982080863,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}